victorhck (@victorhck@mastodon.social)
Python Software Foundation -
es una organización sin fines de lucro dedicada al lenguaje de programación #Python, constituida el 6 de marzo de 2001
https://es.wikipedia.org/wiki/Python_Software_Foundation
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feed (@feed@igeek.gamer-geek-news.com)
📰 5 Powerful Python Decorators to Optimize LLM Applications
Learn these five Python decorators based on diverse libraries, that take particular significance when used in the context of LLM-based applications.
📰 Source: KDnuggets
🔗 Link: https://www.kdnuggets.com/5-powerful-python-decorators-to-optimize-llm-applications
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mopicmp (@mopicmp@mastodon.social)
Python Tip: String join() Performance
# Slow: O(n^2)
result = ''
for s in strings:
result += s
# Fast: O(n)
result = ''.join(strings)
str.join() is O(n) while += concatenation is O(n^2). For 10,000 strings, join() is 100x faster.
https://raccoonette.gumroad.com/l/Python-for-Beginners-From-Zero-to-Your-First-Projects
#Python #CodingTips #Programming
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mopicmp (@mopicmp@mastodon.social)
Python Tip: Ternary Expression
status = 'even' if x % 2 == 0 else 'odd'
result = value if value is not None else default
Python's ternary operator is readable and concise. Replaces simple if/else blocks.
https://raccoonette.gumroad.com/l/Python-for-Beginners-From-Zero-to-Your-First-Projects
#Python #CodingTips #Programming
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laexperimental (@laexperimental@mastodon.social)
Ya esta disponible La Experimental #24:
🛠️ App electrónica
🧠 Tarjetas de estudio inteligentes
🕒 App de productividad
💻 CLI google workspace
📚 Creación de roadmaps de formación con AI
🐍 Patrones Django
💾 Sistema de almacenamiento distribuido
🤖 IA skills obsidian
🌩️ Habit Tracker selfhosted
#ai #ia #python #tech #technology #selfhosting #cli #linux #selfhosting #opensource #development #dev #data #llm #Claude #Copilot #aiagent #sql #productividad #obsidian #Django
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Ant8e (@Ant8e@fosstodon.org)
So, I’ve been laid off and I’m currently searching for a new job.
I have been a professional software developer and architect for the past 30 years. My experience mostly lies in the JVM world, mostly #scala in the last decade, and #java before that . I love programming languages and I can also be efficient in #kotlin, #python, #javascript, #typeScript, #rust
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coldwave (@coldwave@mastoart.social)
I made a #python random character generator script. Then I made an extension for fantasy species and traits. Then I made another script to suggest how to draw this character.
Lots more to add but it basically works.
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habr (@habr@zhub.link)
Darts: библиотека для временных рядов
В Python хватает инструментов для работы с временными рядами, но обычно приходится жонглировать тремя-четырьмя пакетами с разными API. Darts — библиотека, которая собирает всё в одном месте: статистические модели, градиентный бустинг, нейросети — и работает по знакомой схеме fit() / predict() . Сегодня разберём её подробно: что умеет, где удобна, как использовать в задачах.
https://habr.com/ru/companies/otus/articles/1003098/
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brass75 (@brass75@twit.social)
Me: Does anyone know why each call to float('nan') gives a different instance?
#Python Core Devs: https://discuss.python.org/t/question-about-float-nan/106378
I guess I have a lot more fodder than I bargained for for that talk I'm working on.
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mopicmp (@mopicmp@mastodon.social)
Python Tip: dataclasses
from dataclasses import dataclass
@dataclass
class Point:
x: float
y: float
p = Point(1.0, 2.0)
print(p) # Point(x=1.0, y=2.0)
dataclasses auto-generate __init__, __repr__, __eq__ and more. Stop writing boilerplate.
https://raccoonette.gumroad.com/l/Python-for-Beginners-From-Zero-to-Your-First-Projects
#Python #CodingTips #Programming
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mopicmp (@mopicmp@mastodon.social)
Python Tip: os.scandir() Speed
import os
# 20x faster than os.listdir() for stat operations
for entry in os.scandir('/path'):
if entry.is_file():
print(entry.name, entry.stat().st_size)
os.scandir() caches file metadata during iteration. Up to 20x faster than listdir() + stat() calls.
https://raccoonette.gumroad.com/l/Python-for-Beginners-From-Zero-to-Your-First-Projects
#Python #CodingTips #Programming
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habr (@habr@zhub.link)
Pandas: 4 вопроса, которые мучают 51% Python-разработчиков — и их правильные ответы
По данным Stack Overflow Developer Survey, pandas — самая ищемая Python-библиотека. Разбираем четыре топовых вопроса: итерация по строкам, переименование колонок, удаление NaN и фильтрация. Для каждого — несколько способов с бенчмарком и рекомендацией «как надо делать в 2026».
https://habr.com/ru/articles/1007452/
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